Baseten provides machine-learning infrastructure for deploying and operating models and applications. Teams should secure models and credentials, validate performance and output, monitor capacity and spend and maintain rollback and incident controls.
Use authorized, non-sensitive inputs and minimum permissions. Configure privacy, retention, sharing, disclosure, accessibility, export, moderation and spending controls. Test representative cases, verify facts, calculations, citations, code and generated media, preserve originals and require accountable human approval before publication or action.
Developer access is available with usage-based charges for compute, model serving and related infrastructure. Hardware, regions, scale, support and taxes determine cost.
AI output may be inaccurate, biased, derivative, insecure or misleading. Review consent, copyright, training and retention terms, renewals, refunds, platform rules and applicable law. Health, education, security, employment and customer-facing workflows require qualified human review.
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